Dataset statistics
| Number of variables | 38 |
|---|---|
| Number of observations | 815 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 248.3 KiB |
| Average record size in memory | 312.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 29 |
AnnualSpending is highly overall correlated with IncomeEstimate | High correlation |
Female is highly overall correlated with Male | High correlation |
IncomeEstimate is highly overall correlated with AnnualSpending | High correlation |
Male is highly overall correlated with Female | High correlation |
HasComplaint is highly imbalanced (70.2%) | Imbalance |
Indianapolis is highly imbalanced (68.7%) | Imbalance |
San Antonio is highly imbalanced (75.5%) | Imbalance |
Jacksonville is highly imbalanced (70.2%) | Imbalance |
Fort Worth is highly imbalanced (70.2%) | Imbalance |
Washington is highly imbalanced (69.2%) | Imbalance |
Houston is highly imbalanced (73.3%) | Imbalance |
San Jose is highly imbalanced (73.9%) | Imbalance |
Chicago is highly imbalanced (72.8%) | Imbalance |
Dallas is highly imbalanced (72.3%) | Imbalance |
Charlotte is highly imbalanced (66.7%) | Imbalance |
Los Angeles is highly imbalanced (68.2%) | Imbalance |
San Diego is highly imbalanced (70.2%) | Imbalance |
Phoenix is highly imbalanced (65.3%) | Imbalance |
Philadelphia is highly imbalanced (71.8%) | Imbalance |
New York is highly imbalanced (70.2%) | Imbalance |
Austin is highly imbalanced (70.2%) | Imbalance |
Denver is highly imbalanced (73.3%) | Imbalance |
Columbus is highly imbalanced (73.9%) | Imbalance |
Seattle is highly imbalanced (70.2%) | Imbalance |
San Francisco is highly imbalanced (83.4%) | Imbalance |
IncomeEstimate has unique values | Unique |
AnnualSpending has unique values | Unique |
RiskScore has 13 (1.6%) zeros | Zeros |
LoyaltyYears has 36 (4.4%) zeros | Zeros |
ComplaintSatisfaction has 96 (11.8%) zeros | Zeros |
Reproduction
| Analysis started | 2024-06-30 10:49:12.982740 |
|---|---|
| Analysis finished | 2024-06-30 10:49:17.968806 |
| Duration | 4.99 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
RiskScore
Real number (ℝ)
ZEROS
| Distinct | 101 |
|---|---|
| Distinct (%) | 12.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.426994 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 13 |
| Zeros (%) | 1.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 25 |
| median | 51 |
| Q3 | 76 |
| 95-th percentile | 96 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 51 |
Descriptive statistics
| Standard deviation | 29.975162 |
|---|---|
| Coefficient of variation (CV) | 0.5944269 |
| Kurtosis | -1.1986858 |
| Mean | 50.426994 |
| Median Absolute Deviation (MAD) | 26 |
| Skewness | -0.0046910319 |
| Sum | 41098 |
| Variance | 898.51033 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 89 | 16 | 2.0% |
| 61 | 16 | 2.0% |
| 98 | 15 | 1.8% |
| 88 | 14 | 1.7% |
| 91 | 14 | 1.7% |
| 95 | 13 | 1.6% |
| 32 | 13 | 1.6% |
| 0 | 13 | 1.6% |
| 1 | 13 | 1.6% |
| 100 | 13 | 1.6% |
| Other values (91) | 675 |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 13 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 5 | 0.6% |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 100 | 13 | |
| 99 | 5 | 0.6% |
| 98 | 15 | |
| 97 | 5 | 0.6% |
| 96 | 9 | |
| 95 | 13 | |
| 94 | 8 | |
| 93 | 6 | 0.7% |
| 92 | 11 | |
| 91 | 14 |
Age
Real number (ℝ)
| Distinct | 53 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.596319 |
| Minimum | 18 |
|---|---|
| Maximum | 70 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 32 |
| median | 45 |
| Q3 | 58 |
| 95-th percentile | 68 |
| Maximum | 70 |
| Range | 52 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 15.407973 |
|---|---|
| Coefficient of variation (CV) | 0.34549877 |
| Kurtosis | -1.2101318 |
| Mean | 44.596319 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.055947881 |
| Sum | 36346 |
| Variance | 237.40564 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 45 | 23 | 2.8% |
| 66 | 22 | 2.7% |
| 38 | 21 | 2.6% |
| 64 | 21 | 2.6% |
| 62 | 21 | 2.6% |
| 21 | 20 | 2.5% |
| 52 | 20 | 2.5% |
| 36 | 20 | 2.5% |
| 63 | 20 | 2.5% |
| 68 | 19 | 2.3% |
| Other values (43) | 608 |
| Value | Count | Frequency (%) |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 16 | |
| 21 | 20 | |
| 22 | 15 | |
| 23 | 16 | |
| 24 | 11 | |
| 25 | 17 | |
| 26 | 14 | |
| 27 | 11 |
| Value | Count | Frequency (%) |
| 70 | 17 | |
| 69 | 14 | |
| 68 | 19 | |
| 67 | 9 | |
| 66 | 22 | |
| 65 | 13 | |
| 64 | 21 | |
| 63 | 20 | |
| 62 | 21 | |
| 61 | 15 |
LoyaltyYears
Real number (ℝ)
ZEROS
| Distinct | 21 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.096933 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 36 |
| Zeros (%) | 4.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.0376931 |
|---|---|
| Coefficient of variation (CV) | 0.597973 |
| Kurtosis | -1.2105115 |
| Mean | 10.096933 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.042539867 |
| Sum | 8229 |
| Variance | 36.453738 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 16 | 53 | 6.5% |
| 12 | 49 | 6.0% |
| 3 | 47 | 5.8% |
| 14 | 47 | 5.8% |
| 8 | 46 | 5.6% |
| 1 | 41 | 5.0% |
| 17 | 40 | 4.9% |
| 9 | 39 | 4.8% |
| 20 | 39 | 4.8% |
| 10 | 38 | 4.7% |
| Other values (11) | 376 |
| Value | Count | Frequency (%) |
| 0 | 36 | |
| 1 | 41 | |
| 2 | 35 | |
| 3 | 47 | |
| 4 | 37 | |
| 5 | 34 | |
| 6 | 29 | |
| 7 | 38 | |
| 8 | 46 | |
| 9 | 39 |
| Value | Count | Frequency (%) |
| 20 | 39 | |
| 19 | 34 | |
| 18 | 37 | |
| 17 | 40 | |
| 16 | 53 | |
| 15 | 35 | |
| 14 | 47 | |
| 13 | 29 | |
| 12 | 49 | |
| 11 | 32 |
AccountBalance
Real number (ℝ)
| Distinct | 811 |
|---|---|
| Distinct (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50618.514 |
| Minimum | 1307 |
|---|---|
| Maximum | 99618 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 1307 |
|---|---|
| 5-th percentile | 6351.5 |
| Q1 | 27123 |
| median | 49225 |
| Q3 | 74984.5 |
| 95-th percentile | 94421.2 |
| Maximum | 99618 |
| Range | 98311 |
| Interquartile range (IQR) | 47861.5 |
Descriptive statistics
| Standard deviation | 27834.596 |
|---|---|
| Coefficient of variation (CV) | 0.54988964 |
| Kurtosis | -1.1443434 |
| Mean | 50618.514 |
| Median Absolute Deviation (MAD) | 23830 |
| Skewness | 0.031163703 |
| Sum | 41254089 |
| Variance | 7.7476476 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 81072 | 2 | 0.2% |
| 45386 | 2 | 0.2% |
| 44856 | 2 | 0.2% |
| 28526 | 2 | 0.2% |
| 66785 | 1 | 0.1% |
| 24929 | 1 | 0.1% |
| 67163 | 1 | 0.1% |
| 14780 | 1 | 0.1% |
| 7589 | 1 | 0.1% |
| 35812 | 1 | 0.1% |
| Other values (801) | 801 |
| Value | Count | Frequency (%) |
| 1307 | 1 | |
| 1570 | 1 | |
| 1917 | 1 | |
| 2051 | 1 | |
| 2587 | 1 | |
| 2609 | 1 | |
| 2657 | 1 | |
| 2814 | 1 | |
| 2881 | 1 | |
| 2961 | 1 |
| Value | Count | Frequency (%) |
| 99618 | 1 | |
| 99614 | 1 | |
| 99530 | 1 | |
| 99371 | 1 | |
| 99300 | 1 | |
| 99132 | 1 | |
| 99046 | 1 | |
| 98905 | 1 | |
| 98859 | 1 | |
| 98790 | 1 |
ProductCount
Real number (ℝ)
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.4920245 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 2.8021793 |
|---|---|
| Coefficient of variation (CV) | 0.51022702 |
| Kurtosis | -1.1716063 |
| Mean | 5.4920245 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.0049642198 |
| Sum | 4476 |
| Variance | 7.852209 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 6 | 102 | |
| 4 | 92 | |
| 7 | 91 | |
| 9 | 87 | |
| 2 | 83 | |
| 3 | 78 | |
| 1 | 74 | |
| 10 | 71 | |
| 8 | 69 | |
| 5 | 68 |
| Value | Count | Frequency (%) |
| 1 | 74 | |
| 2 | 83 | |
| 3 | 78 | |
| 4 | 92 | |
| 5 | 68 | |
| 6 | 102 | |
| 7 | 91 | |
| 8 | 69 | |
| 9 | 87 | |
| 10 | 71 |
| Value | Count | Frequency (%) |
| 10 | 71 | |
| 9 | 87 | |
| 8 | 69 | |
| 7 | 91 | |
| 6 | 102 | |
| 5 | 68 | |
| 4 | 92 | |
| 3 | 78 | |
| 2 | 83 | |
| 1 | 74 |
HasCreditCard
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2445 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 427 | |
| 0.0 | 388 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 427 | |
| 0.0 | 388 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1203 | |
| . | 815 | |
| 1 | 427 | 17.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1203 | |
| . | 815 | |
| 1 | 427 | 17.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1203 | |
| . | 815 | |
| 1 | 427 | 17.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1203 | |
| . | 815 | |
| 1 | 427 | 17.5% |
ActiveStatus
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2445 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 413 | |
| 1.0 | 402 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 413 | |
| 1.0 | 402 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 815 | |
| 1 | 402 | 16.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 815 | |
| 1 | 402 | 16.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 815 | |
| 1 | 402 | 16.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 815 | |
| 1 | 402 | 16.4% |
IncomeEstimate
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 815 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 111721.21 |
| Minimum | 20028 |
|---|---|
| Maximum | 199965 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 20028 |
|---|---|
| 5-th percentile | 28208.1 |
| Q1 | 69019.5 |
| median | 113286 |
| Q3 | 155865 |
| 95-th percentile | 190614.9 |
| Maximum | 199965 |
| Range | 179937 |
| Interquartile range (IQR) | 86845.5 |
Descriptive statistics
| Standard deviation | 51123.79 |
|---|---|
| Coefficient of variation (CV) | 0.45760147 |
| Kurtosis | -1.1237471 |
| Mean | 111721.21 |
| Median Absolute Deviation (MAD) | 43205 |
| Skewness | -0.073860255 |
| Sum | 91052786 |
| Variance | 2.6136419 × 109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 122511 | 1 | 0.1% |
| 154365 | 1 | 0.1% |
| 74703 | 1 | 0.1% |
| 67819 | 1 | 0.1% |
| 179541 | 1 | 0.1% |
| 154917 | 1 | 0.1% |
| 130186 | 1 | 0.1% |
| 43290 | 1 | 0.1% |
| 132551 | 1 | 0.1% |
| 181771 | 1 | 0.1% |
| Other values (805) | 805 |
| Value | Count | Frequency (%) |
| 20028 | 1 | |
| 20368 | 1 | |
| 20453 | 1 | |
| 20595 | 1 | |
| 20727 | 1 | |
| 20767 | 1 | |
| 20834 | 1 | |
| 21214 | 1 | |
| 21468 | 1 | |
| 21541 | 1 |
| Value | Count | Frequency (%) |
| 199965 | 1 | |
| 199593 | 1 | |
| 199412 | 1 | |
| 199006 | 1 | |
| 198780 | 1 | |
| 198428 | 1 | |
| 198394 | 1 | |
| 198379 | 1 | |
| 198330 | 1 | |
| 198157 | 1 |
AnnualSpending
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 815 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50390.319 |
| Minimum | -19585.153 |
|---|---|
| Maximum | 113025.42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 6 |
| Negative (%) | 0.7% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | -19585.153 |
|---|---|
| 5-th percentile | 14167.635 |
| Q1 | 34797.474 |
| median | 50293.985 |
| Q3 | 66819.99 |
| 95-th percentile | 86537.213 |
| Maximum | 113025.42 |
| Range | 132610.57 |
| Interquartile range (IQR) | 32022.516 |
Descriptive statistics
| Standard deviation | 22187.937 |
|---|---|
| Coefficient of variation (CV) | 0.44032142 |
| Kurtosis | -0.33178637 |
| Mean | 50390.319 |
| Median Absolute Deviation (MAD) | 15927.807 |
| Skewness | 0.046176687 |
| Sum | 41068110 |
| Variance | 4.9230454 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 57486.34231 | 1 | 0.1% |
| 53551.08243 | 1 | 0.1% |
| 35389.03897 | 1 | 0.1% |
| 44716.09718 | 1 | 0.1% |
| 81183.16517 | 1 | 0.1% |
| 40027.63228 | 1 | 0.1% |
| 71143.32184 | 1 | 0.1% |
| 18389.8171 | 1 | 0.1% |
| 59232.85343 | 1 | 0.1% |
| 81485.01966 | 1 | 0.1% |
| Other values (805) | 805 |
| Value | Count | Frequency (%) |
| -19585.15291 | 1 | |
| -4941.208309 | 1 | |
| -2994.060408 | 1 | |
| -2608.622151 | 1 | |
| -2087.86471 | 1 | |
| -674.4777504 | 1 | |
| 592.1282066 | 1 | |
| 1217.742098 | 1 | |
| 2146.616814 | 1 | |
| 2695.101825 | 1 |
| Value | Count | Frequency (%) |
| 113025.4215 | 1 | |
| 109221.0164 | 1 | |
| 109155.4414 | 1 | |
| 107626.5131 | 1 | |
| 107545.7933 | 1 | |
| 106196.4936 | 1 | |
| 105206.131 | 1 | |
| 102633.4915 | 1 | |
| 100493.8729 | 1 | |
| 100310.3679 | 1 |
HasComplaint
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 1.0 | |
|---|---|
| 0.0 | 43 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2445 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 772 | |
| 0.0 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 772 | |
| 0.0 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 858 | |
| . | 815 | |
| 1 | 772 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 858 | |
| . | 815 | |
| 1 | 772 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 858 | |
| . | 815 | |
| 1 | 772 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 858 | |
| . | 815 | |
| 1 | 772 |
ComplaintSatisfaction
Real number (ℝ)
ZEROS
| Distinct | 12 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9516614 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 96 |
| Zeros (%) | 11.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.2415294 |
|---|---|
| Coefficient of variation (CV) | 0.6546347 |
| Kurtosis | -1.2574724 |
| Mean | 4.9516614 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.026849202 |
| Sum | 4035.604 |
| Variance | 10.507513 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 8 | 86 | |
| 10 | 74 | |
| 6 | 73 | |
| 9 | 72 | |
| 4 | 69 | |
| 2 | 69 | |
| 3 | 69 | |
| 7 | 67 | |
| 1 | 67 | |
| Other values (2) | 73 |
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 1 | 67 | |
| 2 | 69 | |
| 3 | 69 | |
| 4 | 69 | |
| 4.950505051 | 8 | 1.0% |
| 5 | 65 | |
| 6 | 73 | |
| 7 | 67 | |
| 8 | 86 |
| Value | Count | Frequency (%) |
| 10 | 74 | |
| 9 | 72 | |
| 8 | 86 | |
| 7 | 67 | |
| 6 | 73 | |
| 5 | 65 | |
| 4.950505051 | 8 | 1.0% |
| 4 | 69 | |
| 3 | 69 | |
| 2 | 69 |
CreditCardPoints
Real number (ℝ)
| Distinct | 748 |
|---|---|
| Distinct (%) | 91.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2441.492 |
| Minimum | 2 |
|---|---|
| Maximum | 4984 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 12.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 226.7 |
| Q1 | 1137.5 |
| median | 2394 |
| Q3 | 3670.5 |
| 95-th percentile | 4751.1 |
| Maximum | 4984 |
| Range | 4982 |
| Interquartile range (IQR) | 2533 |
Descriptive statistics
| Standard deviation | 1460.7422 |
|---|---|
| Coefficient of variation (CV) | 0.59829899 |
| Kurtosis | -1.1888531 |
| Mean | 2441.492 |
| Median Absolute Deviation (MAD) | 1268 |
| Skewness | 0.060839424 |
| Sum | 1989816 |
| Variance | 2133767.8 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 784 | 3 | 0.4% |
| 761 | 3 | 0.4% |
| 1914 | 3 | 0.4% |
| 3598 | 3 | 0.4% |
| 2666 | 2 | 0.2% |
| 1477 | 2 | 0.2% |
| 3535 | 2 | 0.2% |
| 552 | 2 | 0.2% |
| 4916 | 2 | 0.2% |
| 4798 | 2 | 0.2% |
| Other values (738) | 791 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 11 | 1 | |
| 23 | 1 | |
| 26 | 1 | |
| 36 | 1 | |
| 39 | 1 | |
| 43 | 1 | |
| 51 | 1 | |
| 56 | 1 | |
| 68 | 1 |
| Value | Count | Frequency (%) |
| 4984 | 1 | |
| 4971 | 1 | |
| 4970 | 1 | |
| 4969 | 1 | |
| 4960 | 1 | |
| 4952 | 1 | |
| 4944 | 1 | |
| 4923 | 1 | |
| 4916 | 2 | |
| 4913 | 1 |
Indianapolis
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 46 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 769 | |
| 1 | 46 | 5.6% |
San Antonio
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 33 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 782 | |
| 1 | 33 | 4.0% |
Jacksonville
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Fort Worth
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Washington
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 45 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 770 | |
| 1 | 45 | 5.5% |
Houston
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 37 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
San Jose
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 36 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Chicago
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 38 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 777 | |
| 1 | 38 | 4.7% |
Dallas
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 39 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 776 | |
| 1 | 39 | 4.8% |
Charlotte
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 50 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 765 | |
| 1 | 50 | 6.1% |
Los Angeles
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 47 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 768 | |
| 1 | 47 | 5.8% |
San Diego
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Phoenix
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 53 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 762 | |
| 1 | 53 | 6.5% |
Philadelphia
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 40 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 775 | |
| 1 | 40 | 4.9% |
New York
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Austin
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Denver
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 37 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 778 | |
| 1 | 37 | 4.5% |
Columbus
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 36 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 779 | |
| 1 | 36 | 4.4% |
Seattle
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 43 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 772 | |
| 1 | 43 | 5.3% |
San Francisco
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 | 20 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 795 | |
| 1 | 20 | 2.5% |
Female
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 429 | |
| 0 | 386 |
Male
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 429 | |
| 1 | 386 |
American Express
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 599 | |
| 1 | 216 | 26.5% |
Discover
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 1 | 193 | 23.7% |
MasterCard
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 199 | 24.4% |
Visa
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 12.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 815 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 815 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 207 | 25.4% |
| AccountBalance | ActiveStatus | Age | American Express | AnnualSpending | Austin | Charlotte | Chicago | Columbus | ComplaintSatisfaction | CreditCardPoints | Dallas | Denver | Discover | Female | Fort Worth | HasComplaint | HasCreditCard | Houston | IncomeEstimate | Indianapolis | Jacksonville | Los Angeles | LoyaltyYears | Male | MasterCard | New York | Philadelphia | Phoenix | ProductCount | RiskScore | San Antonio | San Diego | San Francisco | San Jose | Seattle | Visa | Washington | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AccountBalance | 1.000 | 0.082 | -0.040 | 0.000 | 0.261 | 0.000 | 0.000 | 0.037 | 0.063 | 0.035 | -0.022 | 0.027 | 0.036 | 0.000 | 0.000 | 0.025 | 0.065 | 0.000 | 0.000 | -0.029 | 0.059 | 0.084 | 0.000 | 0.032 | 0.000 | 0.048 | 0.070 | 0.036 | 0.000 | 0.012 | -0.004 | 0.000 | 0.000 | 0.054 | 0.000 | 0.000 | 0.000 | 0.069 |
| ActiveStatus | 0.082 | 1.000 | 0.054 | 0.000 | 0.060 | 0.060 | 0.000 | 0.000 | 0.000 | -0.034 | -0.005 | 0.000 | 0.000 | 0.033 | 0.000 | 0.000 | 0.000 | 0.028 | 0.027 | 0.020 | 0.037 | 0.000 | 0.000 | 0.077 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | -0.024 | 0.000 | 0.009 | 0.000 | 0.000 | 0.089 | 0.000 | 0.000 |
| Age | -0.040 | 0.054 | 1.000 | 0.032 | 0.058 | 0.000 | 0.014 | 0.000 | 0.052 | -0.010 | -0.065 | 0.030 | 0.000 | 0.000 | 0.000 | 0.000 | 0.038 | 0.000 | 0.083 | 0.068 | 0.000 | 0.000 | 0.097 | 0.059 | 0.000 | 0.000 | 0.000 | 0.000 | 0.068 | 0.022 | 0.036 | 0.000 | 0.106 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| American Express | 0.000 | 0.000 | 0.032 | 1.000 | -0.056 | 0.000 | 0.000 | 0.000 | 0.000 | -0.020 | 0.003 | 0.000 | 0.000 | 0.330 | 0.014 | 0.000 | 0.000 | 0.000 | 0.035 | -0.054 | 0.054 | 0.000 | 0.062 | -0.077 | 0.014 | 0.336 | 0.000 | 0.000 | 0.000 | -0.013 | 0.021 | 0.017 | 0.008 | 0.000 | 0.000 | 0.000 | 0.346 | 0.000 |
| AnnualSpending | 0.261 | 0.060 | 0.058 | -0.056 | 1.000 | 0.000 | 0.060 | 0.000 | 0.000 | -0.029 | -0.002 | 0.076 | 0.032 | 0.000 | 0.069 | 0.030 | 0.088 | 0.000 | 0.099 | 0.819 | 0.000 | 0.141 | 0.000 | -0.058 | 0.069 | 0.000 | 0.000 | 0.000 | 0.000 | -0.005 | -0.057 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Austin | 0.000 | 0.060 | 0.000 | 0.000 | 0.000 | 1.000 | 0.034 | 0.018 | 0.013 | 0.008 | 0.002 | 0.019 | 0.015 | 0.000 | 0.000 | 0.026 | 0.000 | 0.000 | 0.015 | -0.031 | 0.030 | 0.026 | 0.031 | 0.069 | 0.000 | 0.000 | 0.026 | 0.021 | 0.037 | -0.054 | 0.006 | 0.000 | 0.026 | 0.000 | 0.013 | 0.026 | 0.000 | 0.028 |
| Charlotte | 0.000 | 0.000 | 0.014 | 0.000 | 0.060 | 0.034 | 1.000 | 0.027 | 0.024 | -0.020 | 0.009 | 0.029 | 0.026 | 0.020 | 0.000 | 0.034 | 0.000 | 0.014 | 0.026 | -0.006 | 0.038 | 0.034 | 0.039 | -0.086 | 0.000 | 0.000 | 0.034 | 0.030 | 0.045 | 0.035 | 0.001 | 0.018 | 0.034 | 0.000 | 0.024 | 0.034 | 0.058 | 0.037 |
| Chicago | 0.037 | 0.000 | 0.000 | 0.000 | 0.000 | 0.018 | 0.027 | 1.000 | 0.000 | 0.007 | 0.010 | 0.008 | 0.000 | 0.000 | 0.000 | 0.018 | 0.000 | 0.000 | 0.000 | 0.009 | 0.022 | 0.018 | 0.024 | -0.022 | 0.000 | 0.061 | 0.018 | 0.011 | 0.031 | 0.071 | -0.004 | 0.000 | 0.018 | 0.000 | 0.000 | 0.018 | 0.000 | 0.021 |
| Columbus | 0.063 | 0.000 | 0.052 | 0.000 | 0.000 | 0.013 | 0.024 | 0.000 | 1.000 | -0.026 | -0.052 | 0.000 | 0.000 | 0.092 | 0.024 | 0.013 | 0.000 | 0.000 | 0.000 | 0.007 | 0.019 | 0.013 | 0.020 | -0.021 | 0.024 | 0.000 | 0.013 | 0.000 | 0.028 | -0.013 | -0.065 | 0.000 | 0.013 | 0.000 | 0.000 | 0.013 | 0.036 | 0.017 |
| ComplaintSatisfaction | 0.035 | -0.034 | -0.010 | -0.020 | -0.029 | 0.008 | -0.020 | 0.007 | -0.026 | 1.000 | 0.016 | 0.046 | 0.000 | 0.000 | 0.128 | 0.036 | 0.434 | 0.000 | 0.087 | -0.025 | 0.000 | 0.107 | 0.046 | -0.004 | 0.128 | 0.049 | 0.000 | 0.000 | 0.003 | -0.026 | -0.039 | 0.000 | 0.032 | 0.151 | 0.000 | 0.096 | 0.000 | 0.000 |
| CreditCardPoints | -0.022 | -0.005 | -0.065 | 0.003 | -0.002 | 0.002 | 0.009 | 0.010 | -0.052 | 0.016 | 1.000 | 0.066 | 0.046 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.056 | -0.013 | 0.038 | 0.000 | 0.073 | -0.035 | 0.000 | 0.000 | 0.000 | 0.000 | 0.080 | -0.010 | -0.013 | 0.018 | 0.000 | 0.000 | 0.139 | 0.000 | 0.049 | 0.060 |
| Dallas | 0.027 | 0.000 | 0.030 | 0.000 | 0.076 | 0.019 | 0.029 | 0.008 | 0.000 | 0.046 | 0.066 | 1.000 | 0.002 | 0.000 | 0.000 | 0.019 | 0.000 | 0.000 | 0.002 | 0.019 | 0.024 | 0.019 | 0.025 | 0.022 | 0.000 | 0.000 | 0.019 | 0.014 | 0.032 | -0.062 | -0.047 | 0.000 | 0.019 | 0.000 | 0.000 | 0.019 | 0.000 | 0.022 |
| Denver | 0.036 | 0.000 | 0.000 | 0.000 | 0.032 | 0.015 | 0.026 | 0.000 | 0.000 | 0.000 | 0.046 | 0.002 | 1.000 | 0.000 | 0.000 | 0.015 | 0.021 | 0.000 | 0.000 | -0.004 | 0.020 | 0.015 | 0.022 | 0.020 | 0.000 | 0.000 | 0.015 | 0.008 | 0.029 | -0.004 | 0.019 | 0.000 | 0.015 | 0.000 | 0.000 | 0.015 | 0.000 | 0.019 |
| Discover | 0.000 | 0.033 | 0.000 | 0.330 | 0.000 | 0.000 | 0.020 | 0.000 | 0.092 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.025 | 0.000 | 0.000 | 0.000 | 0.037 | 0.000 | 0.074 | 0.057 | 0.001 | 0.000 | 0.311 | 0.000 | 0.019 | 0.007 | -0.023 | 0.002 | 0.086 | 0.025 | 0.000 | 0.000 | 0.064 | 0.320 | 0.000 |
| Female | 0.000 | 0.000 | 0.000 | 0.014 | 0.069 | 0.000 | 0.000 | 0.000 | 0.024 | 0.128 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.015 | 0.000 | 0.035 | 0.000 | 0.000 | 0.019 | 0.004 | 0.998 | 0.007 | 0.000 | 0.000 | 0.000 | 0.003 | -0.005 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Fort Worth | 0.025 | 0.000 | 0.000 | 0.000 | 0.030 | 0.026 | 0.034 | 0.018 | 0.013 | 0.036 | 0.000 | 0.019 | 0.015 | 0.025 | 0.000 | 1.000 | 0.000 | 0.000 | 0.015 | -0.075 | 0.030 | 0.026 | 0.031 | 0.068 | 0.000 | 0.015 | 0.026 | 0.021 | 0.037 | -0.044 | -0.055 | 0.000 | 0.026 | 0.000 | 0.013 | 0.026 | 0.000 | 0.028 |
| HasComplaint | 0.065 | 0.000 | 0.038 | 0.000 | 0.088 | 0.000 | 0.000 | 0.000 | 0.000 | 0.434 | 0.000 | 0.000 | 0.021 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | -0.010 | 0.000 | 0.000 | 0.000 | 0.003 | 0.000 | 0.016 | 0.000 | 0.004 | 0.000 | -0.071 | 0.038 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| HasCreditCard | 0.000 | 0.028 | 0.000 | 0.000 | 0.000 | 0.000 | 0.014 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.000 | 0.000 | 1.000 | 0.000 | 0.015 | 0.031 | 0.069 | 0.000 | -0.033 | 0.015 | 0.000 | 0.000 | 0.000 | 0.052 | -0.031 | 0.080 | 0.000 | 0.000 | 0.033 | 0.020 | 0.056 | 0.000 | 0.066 |
| Houston | 0.000 | 0.027 | 0.083 | 0.035 | 0.099 | 0.015 | 0.026 | 0.000 | 0.000 | 0.087 | 0.056 | 0.002 | 0.000 | 0.000 | 0.000 | 0.015 | 0.000 | 0.000 | 1.000 | 0.052 | 0.020 | 0.015 | 0.022 | -0.038 | 0.000 | 0.000 | 0.015 | 0.008 | 0.029 | -0.020 | 0.038 | 0.000 | 0.015 | 0.000 | 0.000 | 0.015 | 0.000 | 0.019 |
| IncomeEstimate | -0.029 | 0.020 | 0.068 | -0.054 | 0.819 | -0.031 | -0.006 | 0.009 | 0.007 | -0.025 | -0.013 | 0.019 | -0.004 | 0.037 | 0.035 | -0.075 | -0.010 | 0.015 | 0.052 | 1.000 | 0.041 | 0.000 | 0.000 | -0.050 | 0.007 | 0.000 | 0.085 | 0.099 | 0.000 | -0.011 | 0.001 | 0.000 | 0.000 | 0.056 | 0.000 | 0.000 | 0.082 | 0.000 |
| Indianapolis | 0.059 | 0.037 | 0.000 | 0.054 | 0.000 | 0.030 | 0.038 | 0.022 | 0.019 | 0.000 | 0.038 | 0.024 | 0.020 | 0.000 | 0.000 | 0.030 | 0.000 | 0.031 | 0.020 | 0.041 | 1.000 | 0.030 | 0.034 | -0.033 | 0.000 | 0.000 | 0.030 | 0.025 | 0.041 | 0.072 | 0.034 | 0.011 | 0.030 | 0.000 | 0.019 | 0.030 | 0.080 | 0.032 |
| Jacksonville | 0.084 | 0.000 | 0.000 | 0.000 | 0.141 | 0.026 | 0.034 | 0.018 | 0.013 | 0.107 | 0.000 | 0.019 | 0.015 | 0.074 | 0.000 | 0.026 | 0.000 | 0.069 | 0.015 | 0.000 | 0.030 | 1.000 | 0.031 | -0.045 | 0.000 | 0.037 | 0.026 | 0.021 | 0.037 | -0.003 | 0.022 | 0.000 | 0.026 | 0.000 | 0.013 | 0.026 | 0.000 | 0.028 |
| Los Angeles | 0.000 | 0.000 | 0.097 | 0.062 | 0.000 | 0.031 | 0.039 | 0.024 | 0.020 | 0.046 | 0.073 | 0.025 | 0.022 | 0.057 | 0.019 | 0.031 | 0.000 | 0.000 | 0.022 | 0.000 | 0.034 | 0.031 | 1.000 | -0.021 | 0.019 | 0.034 | 0.031 | 0.027 | 0.042 | 0.028 | 0.043 | 0.013 | 0.031 | 0.000 | 0.020 | 0.031 | 0.043 | 0.033 |
| LoyaltyYears | 0.032 | 0.077 | 0.059 | -0.077 | -0.058 | 0.069 | -0.086 | -0.022 | -0.021 | -0.004 | -0.035 | 0.022 | 0.020 | 0.001 | 0.004 | 0.068 | 0.003 | -0.033 | -0.038 | -0.050 | -0.033 | -0.045 | -0.021 | 1.000 | 0.000 | 0.100 | 0.000 | 0.000 | 0.000 | 0.027 | 0.027 | 0.000 | 0.000 | 0.064 | 0.047 | 0.000 | 0.038 | 0.041 |
| Male | 0.000 | 0.000 | 0.000 | 0.014 | 0.069 | 0.000 | 0.000 | 0.000 | 0.024 | 0.128 | 0.000 | 0.000 | 0.000 | 0.000 | 0.998 | 0.000 | 0.000 | 0.015 | 0.000 | 0.007 | 0.000 | 0.000 | 0.019 | 0.000 | 1.000 | 0.007 | 0.000 | 0.000 | 0.000 | -0.003 | 0.005 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| MasterCard | 0.048 | 0.000 | 0.000 | 0.336 | 0.000 | 0.000 | 0.000 | 0.061 | 0.000 | 0.049 | 0.000 | 0.000 | 0.000 | 0.311 | 0.007 | 0.015 | 0.016 | 0.000 | 0.000 | 0.000 | 0.000 | 0.037 | 0.034 | 0.100 | 0.007 | 1.000 | 0.000 | 0.000 | 0.054 | 0.059 | -0.036 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.327 | 0.000 |
| New York | 0.070 | 0.000 | 0.000 | 0.000 | 0.000 | 0.026 | 0.034 | 0.018 | 0.013 | 0.000 | 0.000 | 0.019 | 0.015 | 0.000 | 0.000 | 0.026 | 0.000 | 0.000 | 0.015 | 0.085 | 0.030 | 0.026 | 0.031 | 0.000 | 0.000 | 0.000 | 1.000 | 0.021 | 0.037 | 0.036 | -0.042 | 0.000 | 0.026 | 0.000 | 0.013 | 0.026 | 0.000 | 0.028 |
| Philadelphia | 0.036 | 0.000 | 0.000 | 0.000 | 0.000 | 0.021 | 0.030 | 0.011 | 0.000 | 0.000 | 0.000 | 0.014 | 0.008 | 0.019 | 0.000 | 0.021 | 0.004 | 0.000 | 0.008 | 0.099 | 0.025 | 0.021 | 0.027 | 0.000 | 0.000 | 0.000 | 0.021 | 1.000 | 0.033 | -0.022 | -0.010 | 0.000 | 0.021 | 0.000 | 0.000 | 0.021 | 0.026 | 0.024 |
| Phoenix | 0.000 | 0.000 | 0.068 | 0.000 | 0.000 | 0.037 | 0.045 | 0.031 | 0.028 | 0.003 | 0.080 | 0.032 | 0.029 | 0.007 | 0.000 | 0.037 | 0.000 | 0.052 | 0.029 | 0.000 | 0.041 | 0.037 | 0.042 | 0.000 | 0.000 | 0.054 | 0.037 | 0.033 | 1.000 | 0.030 | 0.045 | 0.022 | 0.037 | 0.000 | 0.028 | 0.037 | 0.000 | 0.040 |
| ProductCount | 0.012 | 0.004 | 0.022 | -0.013 | -0.005 | -0.054 | 0.035 | 0.071 | -0.013 | -0.026 | -0.010 | -0.062 | -0.004 | -0.023 | 0.003 | -0.044 | -0.071 | -0.031 | -0.020 | -0.011 | 0.072 | -0.003 | 0.028 | 0.027 | -0.003 | 0.059 | 0.036 | -0.022 | 0.030 | 1.000 | 0.001 | 0.050 | 0.000 | 0.042 | 0.050 | 0.038 | 0.000 | 0.109 |
| RiskScore | -0.004 | -0.024 | 0.036 | 0.021 | -0.057 | 0.006 | 0.001 | -0.004 | -0.065 | -0.039 | -0.013 | -0.047 | 0.019 | 0.002 | -0.005 | -0.055 | 0.038 | 0.080 | 0.038 | 0.001 | 0.034 | 0.022 | 0.043 | 0.027 | 0.005 | -0.036 | -0.042 | -0.010 | 0.045 | 0.001 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| San Antonio | 0.000 | 0.000 | 0.000 | 0.017 | 0.000 | 0.000 | 0.018 | 0.000 | 0.000 | 0.000 | 0.018 | 0.000 | 0.000 | 0.086 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.011 | 0.000 | 0.013 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.022 | 0.050 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.008 |
| San Diego | 0.000 | 0.009 | 0.106 | 0.008 | 0.000 | 0.026 | 0.034 | 0.018 | 0.013 | 0.032 | 0.000 | 0.019 | 0.015 | 0.025 | 0.000 | 0.026 | 0.000 | 0.000 | 0.015 | 0.000 | 0.030 | 0.026 | 0.031 | 0.000 | 0.000 | 0.000 | 0.026 | 0.021 | 0.037 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.013 | 0.026 | 0.000 | 0.028 |
| San Francisco | 0.054 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.151 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.033 | 0.000 | 0.056 | 0.000 | 0.000 | 0.000 | 0.064 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.042 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| San Jose | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.013 | 0.024 | 0.000 | 0.000 | 0.000 | 0.139 | 0.000 | 0.000 | 0.000 | 0.000 | 0.013 | 0.000 | 0.020 | 0.000 | 0.000 | 0.019 | 0.013 | 0.020 | 0.047 | 0.000 | 0.000 | 0.013 | 0.000 | 0.028 | 0.050 | 0.000 | 0.000 | 0.013 | 0.000 | 1.000 | 0.013 | 0.030 | 0.017 |
| Seattle | 0.000 | 0.089 | 0.000 | 0.000 | 0.000 | 0.026 | 0.034 | 0.018 | 0.013 | 0.096 | 0.000 | 0.019 | 0.015 | 0.064 | 0.000 | 0.026 | 0.000 | 0.056 | 0.015 | 0.000 | 0.030 | 0.026 | 0.031 | 0.000 | 0.000 | 0.000 | 0.026 | 0.021 | 0.037 | 0.038 | 0.000 | 0.000 | 0.026 | 0.000 | 0.013 | 1.000 | 0.000 | 0.028 |
| Visa | 0.000 | 0.000 | 0.000 | 0.346 | 0.000 | 0.000 | 0.058 | 0.000 | 0.036 | 0.000 | 0.049 | 0.000 | 0.000 | 0.320 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.082 | 0.080 | 0.000 | 0.043 | 0.038 | 0.000 | 0.327 | 0.000 | 0.026 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.030 | 0.000 | 1.000 | 0.000 |
| Washington | 0.069 | 0.000 | 0.000 | 0.000 | 0.000 | 0.028 | 0.037 | 0.021 | 0.017 | 0.000 | 0.060 | 0.022 | 0.019 | 0.000 | 0.000 | 0.028 | 0.000 | 0.066 | 0.019 | 0.000 | 0.032 | 0.028 | 0.033 | 0.041 | 0.000 | 0.000 | 0.028 | 0.024 | 0.040 | 0.109 | 0.000 | 0.008 | 0.028 | 0.000 | 0.017 | 0.028 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| RiskScore | Age | LoyaltyYears | AccountBalance | ProductCount | HasCreditCard | ActiveStatus | IncomeEstimate | AnnualSpending | HasComplaint | ComplaintSatisfaction | CreditCardPoints | Indianapolis | San Antonio | Jacksonville | Fort Worth | Washington | Houston | San Jose | Chicago | Dallas | Charlotte | Los Angeles | San Diego | Phoenix | Philadelphia | New York | Austin | Denver | Columbus | Seattle | San Francisco | Female | Male | American Express | Discover | MasterCard | Visa | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 51.0 | 36.0 | 10.0 | 33172.0 | 1.0 | 1.0 | 0.0 | 122511.0 | 57486.342314 | 1.0 | 10.000000 | 4181.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| 1 | 92.0 | 66.0 | 2.0 | 60197.0 | 8.0 | 0.0 | 1.0 | 113144.0 | 29617.169370 | 1.0 | 10.000000 | 4858.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| 2 | 14.0 | 63.0 | 7.0 | 59847.0 | 4.0 | 0.0 | 0.0 | 84824.0 | 53352.944119 | 1.0 | 4.950505 | 389.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 3 | 71.0 | 36.0 | 2.0 | 12577.0 | 5.0 | 0.0 | 1.0 | 43525.0 | 7072.432953 | 1.0 | 4.000000 | 718.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 4 | 60.0 | 39.0 | 13.0 | 78299.0 | 8.0 | 1.0 | 0.0 | 77804.0 | 54096.227468 | 1.0 | 6.000000 | 4244.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| 5 | 20.0 | 41.0 | 12.0 | 21176.0 | 5.0 | 1.0 | 0.0 | 166115.0 | 71312.787807 | 1.0 | 2.000000 | 4678.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 6 | 82.0 | 62.0 | 12.0 | 45386.0 | 10.0 | 0.0 | 1.0 | 61846.0 | 20237.629144 | 1.0 | 8.000000 | 120.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 7 | 86.0 | 29.0 | 1.0 | 64972.0 | 4.0 | 0.0 | 0.0 | 97261.0 | 55154.149524 | 1.0 | 7.000000 | 2652.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
| 8 | 74.0 | 47.0 | 12.0 | 90791.0 | 6.0 | 1.0 | 1.0 | 188455.0 | 86032.367591 | 1.0 | 2.000000 | 2303.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| 9 | 74.0 | 55.0 | 18.0 | 42003.0 | 5.0 | 1.0 | 0.0 | 49483.0 | 592.128207 | 1.0 | 4.000000 | 4861.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| RiskScore | Age | LoyaltyYears | AccountBalance | ProductCount | HasCreditCard | ActiveStatus | IncomeEstimate | AnnualSpending | HasComplaint | ComplaintSatisfaction | CreditCardPoints | Indianapolis | San Antonio | Jacksonville | Fort Worth | Washington | Houston | San Jose | Chicago | Dallas | Charlotte | Los Angeles | San Diego | Phoenix | Philadelphia | New York | Austin | Denver | Columbus | Seattle | San Francisco | Female | Male | American Express | Discover | MasterCard | Visa | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 988 | 2.0 | 52.0 | 10.0 | 33766.0 | 6.0 | 0.0 | 1.0 | 102212.0 | 27176.808641 | 1.0 | 2.0 | 2639.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
| 989 | 22.0 | 19.0 | 1.0 | 80943.0 | 1.0 | 0.0 | 1.0 | 95379.0 | 55852.240103 | 1.0 | 1.0 | 4582.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 990 | 17.0 | 57.0 | 16.0 | 33006.0 | 1.0 | 0.0 | 1.0 | 65591.0 | 25514.224885 | 1.0 | 2.0 | 3909.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| 991 | 37.0 | 40.0 | 8.0 | 32422.0 | 8.0 | 0.0 | 1.0 | 81750.0 | 41239.174554 | 1.0 | 0.0 | 4801.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| 992 | 98.0 | 26.0 | 1.0 | 13205.0 | 7.0 | 1.0 | 1.0 | 110648.0 | 26972.731100 | 1.0 | 7.0 | 1164.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 994 | 63.0 | 63.0 | 15.0 | 24527.0 | 6.0 | 1.0 | 1.0 | 186526.0 | 68421.965687 | 1.0 | 1.0 | 3066.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
| 995 | 88.0 | 31.0 | 3.0 | 19443.0 | 9.0 | 1.0 | 1.0 | 118537.0 | 40494.281339 | 1.0 | 7.0 | 4872.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 996 | 100.0 | 21.0 | 7.0 | 17524.0 | 7.0 | 0.0 | 1.0 | 82672.0 | 19895.817965 | 1.0 | 5.0 | 446.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 998 | 73.0 | 48.0 | 4.0 | 66552.0 | 6.0 | 1.0 | 1.0 | 34429.0 | 40553.955303 | 1.0 | 10.0 | 208.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
| 999 | 38.0 | 55.0 | 15.0 | 47142.0 | 4.0 | 0.0 | 1.0 | 104294.0 | 51282.513165 | 0.0 | 0.0 | 2460.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |